Predicting PACS loading and performance metrics using Monte Carlo and queuing methods

Paul G Nagy, Michael Warnock, Damien Evans

Research output: Chapter in Book/Report/Conference proceedingConference contribution

Abstract

Determining the performance bottleneck of a PACS system is a challenging task. System performance is dependent on several variables such as the workstation, network, servers, type of data, and different loading conditions. This makes planning difficult to ensure the system capacity will deliver fast access to images throughout the enterprise of a hospital even during rush periods. The rules of thumb that most vendors use for the number of workstations per server are based upon heuristic experience and may not apply from institution to institution where usage and infrastructures are different. Rules of thumb can be problematic and usually cannot predict the impact when new technology is introduced like Gigabit Ethernet or distributed architectures. We have developed a Monte Carlo Model in an attempt to develop a more accurate model to predict loading on a system at peak "rush hour" times. The focus of the model was on user metrics of performance such as the latency and throughput of images to their workstation. Analysis demonstrates that "traffic jams" can occur and dissipate in a matter of minutes and be relatively irreproducible to the PACS administrator.

Original languageEnglish (US)
Title of host publicationProceedings of SPIE - The International Society for Optical Engineering
EditorsH.K. Huang, O.M. Ratib
Pages48-56
Number of pages9
Volume5033
DOIs
StatePublished - 2003
Externally publishedYes
EventMedical Imaging 2003: PACS and Integrated Medical Information Systems: Design and Evaluation - San Diego, CA, United States
Duration: Feb 18 2003Feb 20 2003

Other

OtherMedical Imaging 2003: PACS and Integrated Medical Information Systems: Design and Evaluation
CountryUnited States
CitySan Diego, CA
Period2/18/032/20/03

Fingerprint

Picture archiving and communication systems
workstations
Computer workstations
Servers
Ethernet
traffic
planning
Throughput
Planning
Industry

Keywords

  • Computer simulation
  • Monte Carlo
  • PACS
  • Performance modeling

ASJC Scopus subject areas

  • Electrical and Electronic Engineering
  • Condensed Matter Physics

Cite this

Nagy, P. G., Warnock, M., & Evans, D. (2003). Predicting PACS loading and performance metrics using Monte Carlo and queuing methods. In H. K. Huang, & O. M. Ratib (Eds.), Proceedings of SPIE - The International Society for Optical Engineering (Vol. 5033, pp. 48-56) https://doi.org/10.1117/12.480469

Predicting PACS loading and performance metrics using Monte Carlo and queuing methods. / Nagy, Paul G; Warnock, Michael; Evans, Damien.

Proceedings of SPIE - The International Society for Optical Engineering. ed. / H.K. Huang; O.M. Ratib. Vol. 5033 2003. p. 48-56.

Research output: Chapter in Book/Report/Conference proceedingConference contribution

Nagy, PG, Warnock, M & Evans, D 2003, Predicting PACS loading and performance metrics using Monte Carlo and queuing methods. in HK Huang & OM Ratib (eds), Proceedings of SPIE - The International Society for Optical Engineering. vol. 5033, pp. 48-56, Medical Imaging 2003: PACS and Integrated Medical Information Systems: Design and Evaluation, San Diego, CA, United States, 2/18/03. https://doi.org/10.1117/12.480469
Nagy PG, Warnock M, Evans D. Predicting PACS loading and performance metrics using Monte Carlo and queuing methods. In Huang HK, Ratib OM, editors, Proceedings of SPIE - The International Society for Optical Engineering. Vol. 5033. 2003. p. 48-56 https://doi.org/10.1117/12.480469
Nagy, Paul G ; Warnock, Michael ; Evans, Damien. / Predicting PACS loading and performance metrics using Monte Carlo and queuing methods. Proceedings of SPIE - The International Society for Optical Engineering. editor / H.K. Huang ; O.M. Ratib. Vol. 5033 2003. pp. 48-56
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